diff --git a/automatic_inclinometer/import_observations_laakirchen.py b/automatic_inclinometer/import_observations_laakirchen.py new file mode 100644 index 0000000..52588e8 --- /dev/null +++ b/automatic_inclinometer/import_observations_laakirchen.py @@ -0,0 +1,300 @@ +""" import firebird, export to postgresql """ +#!/usr/bin/python# -*- coding: utf-8 -*- + +import os +import time +from typing import List +from itertools import chain +import uuid +import json +from dotenv import load_dotenv, find_dotenv +from sqlalchemy.orm import session +from sqlalchemy import asc, desc +# from sqlalchemy.dialects import firebird +from sqlalchemy.sql import or_ +from db.fb_models import (create_session, FbObservation, Catena) +from db.models import (create_pg_session, Dataset, + Observation, Procedure, Phenomenon, Platform, Format) + + +def main(): + """ + Main function. + """ + + # parameter: + # sensor id in firebird db: + # sensor_id = 1 + # # name of project area in firebird db + # feature_of_interest = 'TAC003-020-0517' # Wolfsegg KB1 + # # sensor name in postgis db + # sensor = 'wolfsegg_kb1_1' + # platform = 'wolfsegg' + + #sensor_id = 0 + # name of project area in firebird db + feature_of_interest = 'GSA02B-007-0911' # Laakirchen + # sensor name in postgis db + # sensor = 'wolfsegg_kb1_0' + platform = 'laakirchen_inclinometer' + + sensor_env_list = os.getenv('LAAKIRCHEN_SENSORS').replace('\n', '') + sensor_list = json.loads(sensor_env_list) + # print(sensor_list) + firebird_session: session = create_session() + # this will print elements along with their index value + for sensor_id, sensor in enumerate(sensor_list): + + # db_observation = session.query(Observation) \ + # .filter_by(name='John Snow').first() + query_count = firebird_session.query(FbObservation).join(FbObservation.catena) \ + .filter(FbObservation.sensore == sensor_id) \ + .filter(Catena.name == feature_of_interest) \ + .filter( + or_( + FbObservation.temperature != None, + FbObservation.pitch != None #this is used to check NULL values + )) \ + .count() + if query_count == 0: + print(f"sensor {sensor} " + f"doesn't have any observations with measured values in firebird database!") + # hop to next for iteration, next sensor in list + continue + # feature_of_interest = query.statement.compile(dialect=firebird.dialect()) + + query = firebird_session.query(FbObservation).join(FbObservation.catena) \ + .filter(FbObservation.sensore == sensor_id) \ + .filter(Catena.name == feature_of_interest) + # print (query.statement.compile(dialect=firebird.dialect())) + firebird_observations: List[FbObservation] = query.all() + # firebird_session.close() + + pg_session: session = create_pg_session() + # pg_datasets: List[Dataset] = pg_query.all() + pg_query = pg_session.query(Dataset) \ + .join(Procedure) \ + .join(Phenomenon) \ + .filter(Procedure.sta_identifier == sensor.lower()) + # .join(Platform).all() \ + + roll_dataset: Dataset = pg_query.filter( + Phenomenon.sta_identifier == "Roll").first() + + slope_dataset: Dataset = pg_query.filter( + Phenomenon.sta_identifier == "Slope").first() + + temperature_dataset: Dataset = pg_query.filter( + Phenomenon.sta_identifier == "InSystemTemperature").first() + + platform_exists = pg_session.query(Platform.id).filter_by( + name=platform.lower()).scalar() is not None + if not platform_exists: + sensor_platform = Platform() + sensor_platform.sta_identifier = platform.lower() + sensor_platform.identifier = platform.lower() + sensor_platform.name = platform.lower() + slope_dataset.platform = sensor_platform + roll_dataset.platform = sensor_platform + temperature_dataset.platform = sensor_platform + else: + sensor_platform = pg_session.query(Platform.id) \ + .filter(Platform.name == platform.lower()) \ + .first() + slope_dataset.fk_platform_id = sensor_platform.id + roll_dataset.fk_platform_id = sensor_platform.id + temperature_dataset.fk_platform_id = sensor_platform.id + + # commit dataset changes: + pg_session.commit() + + + format_exists: bool = pg_session.query(Format.id).filter_by( + definition="http://www.opengis.net/def/observationType/OGC-OM/2.0/OM_Measurement" + ).scalar() is not None + if format_exists: + sensor_format = pg_session.query(Format.id) \ + .filter(Format.definition == + "http://www.opengis.net/def/observationType/OGC-OM/2.0/OM_Measurement") \ + .first() + slope_dataset.fk_format_id = sensor_format.id + roll_dataset.fk_format_id = sensor_format.id + temperature_dataset.fk_format_id = sensor_format.id + pg_session.commit() + + create_db_observations(firebird_observations, roll_dataset, slope_dataset, temperature_dataset, pg_session) + + # commit new observations: + pg_session.commit() + + if len(roll_dataset.observations) > 0: + # if not published yet, publish the roll dataset + if not roll_dataset.is_published: + roll_dataset.is_published = 1 + roll_dataset.is_hidden = 0 + roll_dataset.dataset_type = "timeseries" + roll_dataset.observation_type = "simple" + roll_dataset.value_type = "quantity" + + if len(slope_dataset.observations) > 0: + # if not published yet, publish the roll dataset + if not slope_dataset.is_published: + slope_dataset.is_published = 1 + slope_dataset.is_hidden = 0 + slope_dataset.dataset_type = "timeseries" + slope_dataset.observation_type = "simple" + slope_dataset.value_type = "quantity" + + if len(temperature_dataset.observations) > 0: + # if not published yet, publish the temperature dataset + if not temperature_dataset.is_published: + temperature_dataset.is_published = 1 + temperature_dataset.is_hidden = 0 + temperature_dataset.dataset_type = "timeseries" + temperature_dataset.observation_type = "simple" + temperature_dataset.value_type = "quantity" + pg_session.commit() + + + last_roll_observation = pg_session.query(Observation) \ + .filter(Observation.fk_dataset_id == roll_dataset.id) \ + .order_by(desc('sampling_time_start')) \ + .first() + if last_roll_observation is not None: + roll_dataset.last_time = last_roll_observation.sampling_time_start + roll_dataset.last_value = last_roll_observation.value_quantity + roll_dataset.fk_last_observation_id = last_roll_observation.id + + last_slope_observation = pg_session.query(Observation) \ + .filter(Observation.fk_dataset_id == slope_dataset.id) \ + .order_by(desc('sampling_time_start')) \ + .first() + if last_slope_observation is not None: + slope_dataset.last_time = last_slope_observation.sampling_time_start + slope_dataset.last_value = last_slope_observation.value_quantity + slope_dataset.fk_last_observation_id = last_slope_observation.id + + last_temperature_observation = pg_session.query(Observation) \ + .filter(Observation.fk_dataset_id == temperature_dataset.id) \ + .order_by(desc('sampling_time_start')) \ + .first() + if last_temperature_observation is not None: + temperature_dataset.last_time = last_temperature_observation.sampling_time_start + temperature_dataset.last_value = last_temperature_observation.value_quantity + temperature_dataset.fk_last_observation_id = last_temperature_observation.id + + first_roll_observation = pg_session.query(Observation) \ + .filter(Observation.fk_dataset_id == roll_dataset.id) \ + .order_by(asc('sampling_time_start')) \ + .first() + if first_roll_observation is not None: + roll_dataset.first_time = first_roll_observation.sampling_time_start + roll_dataset.first_value = first_roll_observation.value_quantity + roll_dataset.fk_first_observation_id = first_roll_observation.id + + first_slope_observation = pg_session.query(Observation) \ + .filter(Observation.fk_dataset_id == slope_dataset.id) \ + .order_by(asc('sampling_time_start')) \ + .first() + if first_slope_observation is not None: + slope_dataset.first_time = first_slope_observation.sampling_time_start + slope_dataset.first_value = first_slope_observation.value_quantity + slope_dataset.fk_first_observation_id = first_slope_observation.id + + first_temperature_observation = pg_session.query(Observation) \ + .filter(Observation.fk_dataset_id == temperature_dataset.id) \ + .order_by(asc('sampling_time_start')) \ + .first() + if first_temperature_observation is not None: + temperature_dataset.first_time = first_temperature_observation.sampling_time_start + temperature_dataset.first_value = first_temperature_observation.value_quantity + temperature_dataset.fk_first_observation_id = first_temperature_observation.id + pg_session.commit() + + # for loop sensors end + pg_session.close() + firebird_session.close() + +def create_db_observations(firebird_observations: List[FbObservation], + roll_dataset: Dataset, + slope_dataset: Dataset, + temperature_dataset: Dataset, + pg_session: session): + ''' insert new observations ito db ''' + roll_result = ( + pg_session.query(Observation.result_time) + .filter(Observation.fk_dataset_id == roll_dataset.id) + .all() + ) + roll_result_time_db_list1: List[str] = list(chain(*roll_result)) + roll_result_time_db_list : List[float]= [time.mktime(date_obj.timetuple()) for date_obj in roll_result_time_db_list1] + + + slope_result = ( + pg_session.query(Observation.result_time) + .filter(Observation.fk_dataset_id == slope_dataset.id) + .all() + ) + slope_result_time_db_list1: List[str] = list(chain(*slope_result)) + slope_result_time_db_list : List[float]= [time.mktime(date_obj.timetuple()) for date_obj in slope_result_time_db_list1] + + temperature_result = ( + pg_session.query(Observation.result_time) + .filter(Observation.fk_dataset_id == temperature_dataset.id) + .all() + ) + temperature_result_time_db_list1: List[str] = list(chain(*temperature_result)) + temperature_result_time_db_list : List[float]= [time.mktime(date_obj.timetuple()) for date_obj in temperature_result_time_db_list1] + + for fb_observation in firebird_observations: + # print(fb_observation.catena.name) + if(fb_observation.roll is not None and roll_dataset is not None): + value = fb_observation.roll + add_observation(roll_dataset, fb_observation, value, roll_result_time_db_list) + + if(fb_observation.pitch is not None and slope_dataset is not None): + # max_id = max_id + 1 + value = fb_observation.pitch + add_observation(slope_dataset, fb_observation, value, slope_result_time_db_list) + + if(fb_observation.temperature is not None and temperature_dataset is not None): + # max_id = max_id + 1 + value = fb_observation.temperature + add_observation(temperature_dataset, fb_observation, value, temperature_result_time_db_list) + +def add_observation(dataset: Dataset, fb_observation: FbObservation, value: str, value_identifier_db_list: List[float]): + ''' check if observation still extists in db, + otherwise add it to fb''' + # ob_id: str = str(observation_json.get('id')) + + # existing_observation: bool = ( + # db_session.query(Observation) + # .filter(Observation.result_time == fb_observation.result_time, Observation.fk_dataset_id == dataset.id) + # .one_or_none() + # ) + existing_observation: bool =time.mktime(fb_observation.result_time.timetuple()) in value_identifier_db_list + # Can we insert this observation? + if existing_observation is False: + # insert bew observation + new_observation: Observation = Observation() + new_observation = Observation( + # id=max_id, + value_type='quantity', + sampling_time_start=fb_observation.result_time, + sampling_time_end=fb_observation.result_time, + result_time=fb_observation.result_time, + sta_identifier=str(uuid.uuid4()), + value_identifier = str(time.mktime(fb_observation.result_time.timetuple())), + value_quantity=value + ) + dataset.observations.append(new_observation) + print(f"new observation with result time {new_observation.result_time} " + f"for inclinometer {dataset.procedure.name} succesfully imported!") + else: + print(f"observation with result time {fb_observation.result_time} " + f"for inclinometer {dataset.procedure.name} already exists!") + +# ----------------------------------------------------------------------------- +if __name__ == "__main__": + load_dotenv(find_dotenv()) + main() diff --git a/automatic_inclinometer/insert_sensors/import_sensors_laakirchen.py b/automatic_inclinometer/insert_sensors/import_sensors_laakirchen.py index 37dae67..6f22cba 100644 --- a/automatic_inclinometer/insert_sensors/import_sensors_laakirchen.py +++ b/automatic_inclinometer/insert_sensors/import_sensors_laakirchen.py @@ -66,45 +66,45 @@ def main(): # appending instances to list sensor_list.append( - Sensor('laakirchen_0', 13.8141457, 47.9789118)) + Sensor('laakirchen_inclino_0', 13.8141457, 47.9789118)) sensor_list.append( - Sensor('laakirchen_1', 13.8141457, 47.9789118)) + Sensor('laakirchen_inclino_1', 13.8141457, 47.9789118)) sensor_list.append( - Sensor('laakirchen_2', 13.8141457, 47.9789118)) + Sensor('laakirchen_inclino_2', 13.8141457, 47.9789118)) sensor_list.append( - Sensor('laakirchen_3', 13.8141457, 47.9789118)) + Sensor('laakirchen_inclino_3', 13.8141457, 47.9789118)) sensor_list.append( - Sensor('laakirchen_4', 13.8141457, 47.9789118)) + Sensor('laakirchen_inclino_4', 13.8141457, 47.9789118)) sensor_list.append( - Sensor('laakirchen_5', 13.8141457, 47.9789118)) + Sensor('laakirchen_inclino_5', 13.8141457, 47.9789118)) sensor_list.append( - Sensor('laakirchen_6', 13.8141457, 47.9789118)) + Sensor('laakirchen_inclino_6', 13.8141457, 47.9789118)) sensor_list.append( - Sensor('laakirchen_7', 13.8141457, 47.9789118)) + Sensor('laakirchen_inclino_7', 13.8141457, 47.9789118)) sensor_list.append( - Sensor('laakirchen_8', 13.8141457, 47.9789118)) + Sensor('laakirchen_inclino_8', 13.8141457, 47.9789118)) sensor_list.append( - Sensor('laakirchen_9', 13.8141457, 47.9789118)) + Sensor('laakirchen_inclino_9', 13.8141457, 47.9789118)) sensor_list.append( - Sensor('laakirchen_10', 13.8141457, 47.9789118)) + Sensor('laakirchen_inclino_10', 13.8141457, 47.9789118)) sensor_list.append( - Sensor('laakirchen_11', 13.8141457, 47.9789118)) + Sensor('laakirchen_inclino_11', 13.8141457, 47.9789118)) sensor_list.append( - Sensor('laakirchen_12', 13.8141457, 47.9789118)) + Sensor('laakirchen_inclino_12', 13.8141457, 47.9789118)) sensor_list.append( - Sensor('laakirchen_13', 13.8141457, 47.9789118)) + Sensor('laakirchen_inclino_13', 13.8141457, 47.9789118)) sensor_list.append( - Sensor('laakirchen_14', 13.8141457, 47.9789118)) + Sensor('laakirchen_inclino_14', 13.8141457, 47.9789118)) sensor_list.append( - Sensor('laakirchen_15', 13.8141457, 47.9789118)) + Sensor('laakirchen_inclino_15', 13.8141457, 47.9789118)) sensor_list.append( - Sensor('laakirchen_16', 13.8141457, 47.9789118)) + Sensor('laakirchen_inclino_16', 13.8141457, 47.9789118)) sensor_list.append( - Sensor('laakirchen_17', 13.8141457, 47.9789118)) + Sensor('laakirchen_inclino_17', 13.8141457, 47.9789118)) sensor_list.append( - Sensor('laakirchen_18', 13.8141457, 47.9789118)) + Sensor('laakirchen_inclino_18', 13.8141457, 47.9789118)) sensor_list.append( - Sensor('laakirchen_19', 13.8141457, 47.9789118)) + Sensor('laakirchen_inclino_19', 13.8141457, 47.9789118)) sensor: Sensor for sensor in sensor_list: @@ -136,17 +136,6 @@ def main(): request=requests.post(sos_url, headers = headers, json = post_data) print(request.text) - # # platform Wolfsegg - # offering = Offering( - # "https://geomon.geologie.ac.at/52n-sos-webapp/api/offerings/", - # "wolfsegg_1", - # "Bohrloch, Wolfsegg Inklinometer" - # ) - # procedure = Procedure("wolfsegg_1", "wolfsegg_1") - # foi = FoI("degree", "m", (13.6731638, 48.1064354, 0.0), - # "TAC003-020-0517", "Wolfsegg KB1") - - def insert_sensor(offering, procedure, foi, sensor_type): """ diff --git a/db/fb_models.py b/db/fb_models.py index f42628f..c5d19dc 100644 --- a/db/fb_models.py +++ b/db/fb_models.py @@ -20,7 +20,8 @@ class Catena(Base): id = Column('CHIAVE', Integer, primary_key=True) name = Column('NOME', String) - observations = relationship('FbObservation') + # observations = relationship('FbObservation') + observations = relationship('FbObservation', back_populates="catena", lazy=True) def __repr__(self): # optional return f'Catena {self.name}' @@ -37,9 +38,13 @@ class FbObservation(Base): sensore = Column('SENSORE', Integer, primary_key=True) data = Column('DATA', Date) temperature = Column('TEMPERATURA', String) + + chiave_id = Column('CATENA', Integer, ForeignKey('CATENE.CHIAVE'), nullable=True) + catena = relationship( + "Catena", back_populates="observations", lazy="joined") - chiave_id = Column('CATENA', Integer, ForeignKey('CATENE.CHIAVE')) - catena = relationship("Catena", lazy="joined", foreign_keys=[chiave_id]) + # chiave_id = Column('CATENA', Integer, ForeignKey('CATENE.CHIAVE')) + # catena = relationship("Catena", lazy="joined", foreign_keys=[chiave_id]) def __repr__(self): # optional return f'FbObservation {self.roll}' @@ -62,5 +67,5 @@ def create_session() -> sqlalchemy.orm.session: session_maker = sessionmaker(bind=engine) session = session_maker() - Base.metadata.create_all(engine) + # Base.metadata.create_all(engine) return session diff --git a/notes.txt b/notes.txt index ca31134..c03d091 100644 --- a/notes.txt +++ b/notes.txt @@ -63,4 +63,6 @@ https://stackoverflow.com/questions/51737548/how-to-set-primary-key-auto-increme 1. Pechgraben images -2. Gschliefgraben Piezometer \ No newline at end of file +2. Gschliefgraben Piezometer +3. Gschliefgraben Glasfaser +4. Laakirchen Inklinometer \ No newline at end of file